Synthetic DBT Images Could Replace Digital Mammograms
|
By MedImaging International staff writers Posted on 12 Oct 2020 |

Image: Comparsion between DM, DBT, and SM (Photo courtesy of Planmed)
A new study suggests that synthesized mammograms (SM) re-created from digital breast tomosynthesis (DBT) scans are as accurate as traditional digital mammography (DM).
Researchers at York University (Toronto, Canada), McMaster University (Hamilton, ON, Canada), and other institutions conducted a literature review in order to compare diagnostic accuracy of SM, DM, SM with DBT, and DM with DBT for breast cancer detection. In all, 13 studies reporting on 201,304 patients (7,252 with breast cancer) were included in the analysis. The results showed no significant differences in sensitivity and specificity between DM and SM, either alone or in combination with DBT.
They also found no significant difference in their unadjusted analyses or when adjusting for important confounding factors, such as risk of bias, reference standard used, or study design. According to the researchers, the findings are important for reducing patient radiation exposure, as the radiation dose needed can be reduced by roughly half when clinicians opt to use two-dimensional (2D) SM with DBT, instead of DM with DBT. The study was published on September 23, 2020, in American Journal of Roentgenology (AJR).
“Reconstructing a 2D synthesized mammogram image does not require additional radiation exposure beyond that required for DBT,” concluded lead author Peri Abdullah, PhD, of York University, and colleagues. “This further supports the implementation of synthesized mammography in place of digital mammography in breast imaging, with the aim of reducing radiation exposure in this patient population without sacrificing accuracy.”
DBT acquires multiple images over a limited angular range to produce a set of reconstructed images, which can then be viewed individually or sequentially in a cine loop, and in a 3D image of the breast, which can viewed in narrow slices, similar to CT scans. While in conventional 2D mammography overlapping tissues can mask suspicious areas, 3D images eliminate the overlap, making abnormalities easier to recognize. It is estimated that 3D DBT will replace conventional mammography within ten years.
Related Links:
York University
McMaster University
Researchers at York University (Toronto, Canada), McMaster University (Hamilton, ON, Canada), and other institutions conducted a literature review in order to compare diagnostic accuracy of SM, DM, SM with DBT, and DM with DBT for breast cancer detection. In all, 13 studies reporting on 201,304 patients (7,252 with breast cancer) were included in the analysis. The results showed no significant differences in sensitivity and specificity between DM and SM, either alone or in combination with DBT.
They also found no significant difference in their unadjusted analyses or when adjusting for important confounding factors, such as risk of bias, reference standard used, or study design. According to the researchers, the findings are important for reducing patient radiation exposure, as the radiation dose needed can be reduced by roughly half when clinicians opt to use two-dimensional (2D) SM with DBT, instead of DM with DBT. The study was published on September 23, 2020, in American Journal of Roentgenology (AJR).
“Reconstructing a 2D synthesized mammogram image does not require additional radiation exposure beyond that required for DBT,” concluded lead author Peri Abdullah, PhD, of York University, and colleagues. “This further supports the implementation of synthesized mammography in place of digital mammography in breast imaging, with the aim of reducing radiation exposure in this patient population without sacrificing accuracy.”
DBT acquires multiple images over a limited angular range to produce a set of reconstructed images, which can then be viewed individually or sequentially in a cine loop, and in a 3D image of the breast, which can viewed in narrow slices, similar to CT scans. While in conventional 2D mammography overlapping tissues can mask suspicious areas, 3D images eliminate the overlap, making abnormalities easier to recognize. It is estimated that 3D DBT will replace conventional mammography within ten years.
Related Links:
York University
McMaster University
Latest General/Advanced Imaging News
- Routine Cardiac CT Enhanced to Predict Heart Failure Risk
- New Breast Imaging Viewer Unifies Modalities and Enhances Clinical Workflow
- Radiomics Analysis of CT Scans Enhances Evaluation of Sarcoidosis
- Hybrid AI System Improves Early Lung Cancer Detection on CT
- AI Tool Predicts Side Effects from Lung Cancer Treatment
- AI Tool Offers Prognosis for Patients with Head and Neck Cancer
- New 3D Imaging System Addresses MRI, CT and Ultrasound Limitations
- AI-Based Tool Predicts Future Cardiovascular Events in Angina Patients
- AI-Based Tool Accelerates Detection of Kidney Cancer
- New Algorithm Dramatically Speeds Up Stroke Detection Scans
- 3D Scanning Approach Enables Ultra-Precise Brain Surgery
- AI Tool Improves Medical Imaging Process by 90%
- New Ultrasmall, Light-Sensitive Nanoparticles Could Serve as Contrast Agents
- AI Algorithm Accurately Predicts Pancreatic Cancer Metastasis Using Routine CT Images
- Cutting-Edge Angio-CT Solution Offers New Therapeutic Possibilities
- Extending CT Imaging Detects Hidden Blood Clots in Stroke Patients
Channels
Radiography
view channel
AI Detection Tool Improves Identification of Lobular Breast Cancer
Breast cancer screening seeks early detection, yet some subtypes remain difficult to visualize on mammography, risking delayed diagnosis. On average, 1 in 20 women worldwide will develop breast cancer,... Read more
New Contrast Agent Enables Low-Dose X-Ray Joint Imaging
X-ray imaging offers limited visualization of soft tissues like cartilage, complicating evaluation of joint pain and degenerative disease. Clinicians often rely on joint-space narrowing as a proxy for... Read moreMRI
view channel
Advanced MRI Visualizes CSF Motion Changes After Mild Traumatic Brain Injury
Mild traumatic brain injury (TBI) can disrupt brain function yet often eludes objective assessment with standard imaging. Clinicians lack tools that capture subtle neurofluid changes that may follow a... Read more
MRI Tool Enables Long-Term Tracking of Transplanted Cardiac Cells
Cell therapies for myocardial injury face a persistent hurdle: clinicians cannot easily monitor whether transplanted cells survive and where they persist in the heart. This limits optimization of dosing,... Read moreUltrasound
view channel
Whole Cross-Section Ultrasound System Enables Operator-Independent Imaging
Conventional ultrasound is central to bedside imaging but is limited by a narrow field of view and operator variability. Comprehensive cross-sectional assessment typically requires computed tomography... Read more
New Ultrasound AI Tool Supports Rapid Prenatal Assessment
Accurate gestational age estimation guides prenatal screening, detection of complications, and timely intervention. Access to ultrasound and trained sonographers is uneven, with nearly half of U.... Read moreNuclear Medicine
view channelMR-Guided Cardiac Mapping System Enables Radiation-Free Procedures
Cardiac electrophysiology procedures are typically guided by X-ray fluoroscopy, which limits soft-tissue visualization and exposes patients and clinical staff to ionizing radiation. Real-time mapping that... Read more
PET Tracer Enables Noninvasive Measurement of Beta Cell Mass
Type 1 diabetes is an autoimmune disease in which the immune system destroys insulin-producing pancreatic beta cells. Loss of these cells destabilizes glucose control and drives complications.... Read more
New Imaging Tool Sheds Light on Tumor Fat Metabolism
Rapidly growing tumors reprogram metabolism to meet high energy demands. While many cancers preferentially consume glucose, lipid utilization by malignant cells is difficult to measure in living subjects.... Read more
Radiopharmaceutical Molecule Marker to Improve Choice of Bladder Cancer Therapies
Targeted cancer therapies only work when tumor cells express the specific molecular structures they are designed to attack. In urothelial carcinoma, a common form of bladder cancer, the cell surface protein... Read moreImaging IT
view channel
Breast Imaging Software Enhances Visualization and Tissue Characterization in Challenging Cases
Breast imaging can be particularly challenging in cases involving small breasts or implants, where image reconstruction and tissue characterization may be limited. Clinicians also need reproducible analysis... Read more
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
Nuclear Medicine Set for Continued Growth Driven by Demand for Precision Diagnostics
Clinical imaging services face rising demand for precise molecular diagnostics and targeted radiopharmaceutical therapy as cancer and chronic disease rates climb. A new market analysis projects rapid expansion... Read more







